Zobrazeno 1 - 10
of 46 344
pro vyhledávání: '"WANG, YUE"'
Autor:
Han, Xiangyu, Jia, Zhen, Li, Boyi, Wang, Yan, Ivanovic, Boris, You, Yurong, Liu, Lingjie, Wang, Yue, Pavone, Marco, Feng, Chen, Li, Yiming
Photorealistic simulators are essential for the training and evaluation of vision-centric autonomous vehicles (AVs). At their core is Novel View Synthesis (NVS), a crucial capability that generates diverse unseen viewpoints to accommodate the broad a
Externí odkaz:
http://arxiv.org/abs/2412.05256
Autor:
Hu, Peiyan, Wang, Rui, Zheng, Xiang, Zhang, Tao, Feng, Haodong, Feng, Ruiqi, Wei, Long, Wang, Yue, Ma, Zhi-Ming, Wu, Tailin
Simulating and controlling physical systems described by partial differential equations (PDEs) are crucial tasks across science and engineering. Recently, diffusion generative models have emerged as a competitive class of methods for these tasks due
Externí odkaz:
http://arxiv.org/abs/2412.04833
Autor:
Han, Fuzhang, Wei, Yufei, Jiao, Yanmei, Zhang, Zhuqing, Pan, Yiyuan, Huang, Wenjun, Tang, Li, Yin, Huan, Ding, Xiaqing, Xiong, Rong, Wang, Yue
Map-based localization is crucial for the autonomous movement of robots as it provides real-time positional feedback. However, existing VINS and SLAM systems cannot be directly integrated into the robot's control loop. Although VINS offers high-frequ
Externí odkaz:
http://arxiv.org/abs/2412.04287
Autor:
Lu, Yifan, Ren, Xuanchi, Yang, Jiawei, Shen, Tianchang, Wu, Zhangjie, Gao, Jun, Wang, Yue, Chen, Siheng, Chen, Mike, Fidler, Sanja, Huang, Jiahui
We present InfiniCube, a scalable method for generating unbounded dynamic 3D driving scenes with high fidelity and controllability. Previous methods for scene generation either suffer from limited scales or lack geometric and appearance consistency a
Externí odkaz:
http://arxiv.org/abs/2412.03934
Autor:
Zhou, Hongyu, Lin, Longzhong, Wang, Jiabao, Lu, Yichong, Bai, Dongfeng, Liu, Bingbing, Wang, Yue, Geiger, Andreas, Liao, Yiyi
In the past few decades, autonomous driving algorithms have made significant progress in perception, planning, and control. However, evaluating individual components does not fully reflect the performance of entire systems, highlighting the need for
Externí odkaz:
http://arxiv.org/abs/2412.01718
Vision foundation models, particularly the ViT family, have revolutionized image understanding by providing rich semantic features. However, despite their success in 2D comprehension, their abilities on grasping 3D spatial relationships are still unc
Externí odkaz:
http://arxiv.org/abs/2411.19458
The recent breakthrough of large language models (LLMs) in natural language processing has sparked exploration in recommendation systems, however, their limited domain-specific knowledge remains a critical bottleneck. Specifically, LLMs lack key piec
Externí odkaz:
http://arxiv.org/abs/2411.18262
Autor:
Wang, Yue, Zhou, Tian, Cui, Zhuo-xu, Huang, Bingsheng, Zheng, Hairong, Liang, Dong, Zhu, Yanjie
Magnetic Resonance Imaging (MRI) is a multi-contrast imaging technique in which different contrast images share similar structural information. However, conventional diffusion models struggle to effectively leverage this structural similarity. Recent
Externí odkaz:
http://arxiv.org/abs/2411.14269
The task of occupancy forecasting (OCF) involves utilizing past and present perception data to predict future occupancy states of autonomous vehicle surrounding environments, which is critical for downstream tasks such as obstacle avoidance and path
Externí odkaz:
http://arxiv.org/abs/2411.14169
Autor:
Wang, Yue, Cao, Xu, Hu, Yaojun, Ying, Haochao, Rehg, James Matthew, Sun, Jimeng, Wu, Jian, Chen, Jintai
Electrocardiogram (ECG), a non-invasive and affordable tool for cardiac monitoring, is highly sensitive in detecting acute heart attacks. However, due to the lengthy nature of ECG recordings, numerous machine learning methods have been developed for
Externí odkaz:
http://arxiv.org/abs/2411.17711